Mohd Aazam

Business Analyst

Noida, Uttar Pradesh, India3 yrs 2 mos experience
Most Likely To Switch

Key Highlights

  • Passionate about transforming data into actionable insights.
  • Skilled in creating interactive dashboards and visualizations.
  • Experienced in data cleaning and predictive modeling.
Stackforce AI infers this person is a Data Analyst with a focus on data-driven decision-making in the Healthcare and Analytics sectors.

Contact

Skills

Core Skills

Data AnalysisData Visualization

Other Skills

PythonSQLPower BIExcelTableauData CleaningMachine LearningBusiness InsightsAnalytic Problem SolvingStatistical Data AnalysisExploratory Data AnalysisLeadershipCreative Problem SolvingPublic SpeakingSelf-confidence

About

They say experience counts—but so do curiosity, grit, and a slightly questionable habit of cleaning messy data at 2 AM. 🧑‍💻 Hey there! I’m a Data Analyst who may not hold a formal job title yet, but I’ve built a portfolio (and a search history) that rivals seasoned professionals. From obsessing over Excel formulas to debugging SQL queries and whispering sweet logic to Python scripts—I’ve done it all. And guess what? It works. I’ve designed dashboards in Power BI that are cleaner than my inbox, transformed raw datasets into meaningful visuals (sometimes tears too), and discovered a strange love for pivot tables. I’ve also begun exploring Machine Learning, NLP, and Generative AI—building models that not only predict but explain. Hardworking? Always. Fast learner? Without a doubt. Now, I’m actively looking for opportunities to bring my skills into the real world—solve actual business problems, drive decisions through data, and maybe, just maybe, finally explain to my family what a Data Analyst really does. 📌 Skills: Python • SQL • Excel • Power BI • Pandas • Data Visualization • Machine Learning • NLP • Gen AI • Data Cleaning • Dashboarding • Humor Under Pressure I'm a data analyst who is passionate about using data to inform business choices. With my expertise in Python, SQL, Power BI, Excel, Gen AI, and machine learning, I specialise in using strong analysis and eye-catching visualisations to turn complicated datasets into insights that can be put to use. Data cleansing, exploratory data analysis (EDA), dashboard construction, and predictive modelling are among my areas of competence. I'm also becoming more adept at using machine learning algorithms in practical settings. I’m a results-driven Data Analyst with a passion for turning data into actionable business insights. With strong skills in SQL, Power BI, Excel, and Python, I specialize in transforming complex data into interactive dashboards and meaningful visualizations. I’ve worked on end-to-end analytics solutions, including data cleaning, variance analysis, and performance reporting. Whether it's uncovering trends or improving decision-making, I thrive on solving real-world problems with data. 🔹 Tools: Power BI, SQL, Excel, Python, Tableau 🔹 Skills: Data Visualization, Dashboarding, Data Cleaning, Business Analysis 🔹 Soft Skills: Problem Solving, Critical Thinking, Stakeholder Communication.

Experience

3 yrs 2 mos
Total Experience
1 yr
Average Tenure
1 yr 2 mos
Current Experience

Genpact india private limited delhi

Management Information System Executive

Feb 2026Present · 3 mos · Gurugram, Haryana, India

Acciojob

Data Analyst

Mar 2025Present · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site

  • I collaborated closely with the business intelligence and analytics teams as a data analyst intern to facilitate data-driven decision-making. As part of my job, I had to collect, clean, analyse, and visualise data in order to derive useful insights and boost operational effectiveness.
  • 🔧 Principal Duties: Gathered and prepared datasets for analysis from various sources
  • carried out exploratory data analysis (EDA) to find key performance indicators (KPIs), trends, and anomalies.
  • created graphic reports and interactive dashboards with Power BI, Excel, and Tableau.
  • created SQL queries to access and modify relational database data.
  • supported Python (Pandas, NumPy, Scikit-learn) for predictive modelling and simple machine learning workloads.
  • worked with cross-functional groups to match business requirements with data solutions.
  • Tools and Technology 🧠 Python, SQL, Power BI, Excel, Scikit-learn, Pandas, Matplotlib, and NumPy were utilised.
PythonSQLPower BIExcelTableauData Cleaning+3

Niva bupa health insurance

Operations and analytics

Jan 2024Jan 2025 · 1 yr · Noida, Uttar Pradesh, India · On-site

  • dentified customer pain points through data analysis, leading to reduced churn and increased satisfaction by 80% using
  • actionable insights.
  • Utilized SQL and Excel for end-to-end data cleaning, transformation, and sales trend analysis, driving revenue-focused
  • decisions.
  • Developed interactive dashboards to visualize KPIs, customer behaviour, and service issues, cleaned and analysed
  • customer service data, improving resolution speed by 25%.
  • Applied customer segmentation and predictive analytics to optimize engagement strategies, improving conversion and
  • retention rates by 15%.
SQLExcelData AnalysisData Visualization

Landis+gyr

2 roles

Graduate Engineering Trainee

Jan 2022Jan 2023 · 1 yr · Noida, Uttar Pradesh, India · On-site

  • Gained practical experience in relational databases through structured training, proficient in writing complex SQL queries
  • for data extraction and manipulation.
  • Applied Python for data automation, cleaning, and transformation using libraries such as Pandas and NumPy.
  • Utilized Microsoft Excel for advanced data analysis, including pivot tables, VLOOKUP, and formula-based dashboards.
  • Strengthened problem-solving and logical reasoning skills in real-world, data-driven environments, contributing to
  • effective data storytelling and decision support.
SQLPythonExcelData Analysis

Graduate Engineering Trainee

Jan 2022Jan 2023 · 1 yr · Noida, Uttar Pradesh, India · On-site

  • Innovative company specializing in energy management systems
  • Completed technical training with emphasis on data-centric
  • systems, scripting, and analytical foundations
  • Trained in SQL for data querying and relational database handling
  • Introduced to Python for basic scripting, automation, and data
  • manipulation
  • Gained exposure to Excel for structured data handling and tabular
  • reporting
  • Understood enterprise data flow and system architectures through
  • .NET-based training modules
  • Built logical thinking and problem-solving skills essential for datadriven environments
SQLPythonExcel

Education

Dehradun institute of Technology (DIT)

Bachelor's degree — Computer Software Engineering

Jul 2017Jul 2021

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